Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to adaibook.com

阿呆的小书签 · ranked by shared content topics & relevance
75match
julianjupiter.com
Julian Jupiter - Home
1 shared topicsprogramming-languages
62match
ankitgautam.dev
Your name
1 shared topicsprogramming-languages
62match
buildingblocksjava.com
Building Blocks Java
1 shared topicsprogramming-languages
62match
asynchroza.com
Asynchronous Thoughts
1 shared topicsprogramming-languages
61match
andrewmarkle.com
Andrew Markle · Andrew Markle
1 shared topicsprogramming-languages
61match
jsbible.com
Latest Posts | jsbible.com
1 shared topicsprogramming-languages
61match
alchemistcamp.com
Learn Elixir and Phoenix | Alchemist Camp
1 shared topicsprogramming-languages
61match
holidayjs.com
Holiday.js 2025 - Phoenix Holiday Hackathon
1 shared topicsprogramming-languages
61match
jurajmartinka.com
Juraj Martinka | Curious (Clojure) Programmer
1 shared topicsprogramming-languages
61match
courageouscoders.com
Courageous Coders – Learn to code. Fearlessly.
1 shared topicsprogramming-languages
61match
egenix.com
eGenix.com - Professional Python Software, Skills and Services
1 shared topicsprogramming-languages
61match
justamonad.com
Platform for Object Oriented and Functional Programming Concepts -
1 shared topicsprogramming-languages
60match
ebenezerkouakou.com
Ebenezer Kouakou | Portfolio
1 shared topicsprogramming-languages
60match
academypioneer.com
先锋学院 -- 致力于儿童数学逻辑思维和编程培训(Scratch, Python, Java)的加拿大培训机构,学员遍布多伦多,蒙特利尔,渥太华等各个地方
1 shared topicsprogramming-languages
60match
andrewlock.dev
Andrew Lock | .NET Escapades
1 shared topicsprogramming-languages
60match
andrewlock.net
Andrew Lock | .NET Escapades
1 shared topicsprogramming-languages
60match
simonetorrente.com
Simone Torrente - Digital Project Manager
1 shared topicsprogramming-languages
60match
cybercomputing.co.uk 🇬🇧
Cybercomputing - information for students of computing, and for teachers and parents of those students. Tutorial for use of Macromedia Flash and Fireworks, Also includes a section on how we learn according to our personalities.
1 shared topicsprogramming-languages

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.